文件名称：pydata-nyc-advanced-sklearn:关于 scikit-learn 更高级功能的 PyData NYC 2014 教程的笔记本（和幻灯片）
文件大小：7.09MB
文件格式：ZIP
更新时间：2024-07-29 01:36:09
pydata-nyc-高级-sklearn 关于 scikit-learn 更高级功能的 PyData NYC 2014 教程的笔记本（和幻灯片）。 您可以在在 nbviewer 中查看它们
【文件预览】：
pydata-nyc-advanced-sklearn-master
----Chapter 0 - Reminder.ipynb(5KB)
----images()
--------iris_overfitting_decision.png(230KB)
--------plot_validation_curve_001.png(55KB)
--------plot_learning_curve_001.png(54KB)
--------plot_snakes_1.png(14KB)
--------multi-label1.png(185KB)
--------bias_variance_equation.png(36KB)
--------expon.png(6KB)
--------plot_letters_1.png(35KB)
--------bias_variance_target.png(128KB)
--------plot_letters_2.png(24KB)
--------Bgc45seCUAAbze1.png:large.png(243KB)
--------argmax.png(186KB)
--------multi-label2.png(218KB)
--------kernel_trick1.png(10KB)
--------kernel_trick2.png(10KB)
--------plot_snakes_input.png(4KB)
--------notebook.png(77KB)
--------iris_overfitting_curve.png(16KB)
--------overfitting_svm_iris_curve.png(10KB)
--------roc_auc_score.png(13KB)
----Chapter 5 - Model Selection; Overfitting and Generalization.ipynb(373KB)
----Chapter 6 - Out Of Core Learning.ipynb(4KB)
----Chapter 1 - Combining Pipelines and GridSearchCV.ipynb(4KB)
----presentation.odp(2.51MB)
----LICENSE(6KB)
----presentation.pdf(2.7MB)
----README.md(283B)
----Chapter 2 - Feature Union.ipynb(13KB)
----Chapter 4 - Advanced Scoring.ipynb(24KB)
----data()
--------batch_06.pickle(92KB)
--------train_4.csv(97KB)
--------batch_03.pickle(92KB)
--------batch_00.pickle(92KB)
--------batch_08.pickle(91KB)
--------train_6.csv(82KB)
--------batch_04.pickle(92KB)
--------train_3.csv(81KB)
--------batch_01.pickle(92KB)
--------train_0.csv(85KB)
--------batch_02.pickle(92KB)
--------batch_09.pickle(91KB)
--------train_5.csv(90KB)
--------test_with_solutions.csv(573KB)
--------train_7.csv(83KB)
--------train_1.csv(70KB)
--------train_9.csv(87KB)
--------train_2.csv(72KB)
--------train_8.csv(98KB)
--------batch_05.pickle(92KB)
--------batch_07.pickle(91KB)
----.gitignore(675B)
----Chapter 3 - Randomized Hyper Parameter Search.ipynb(49KB)